gpu-cuda
smol-machines/smolvmSkill
Runs CUDA compute workloads inside a smolvm microVM against a real host NVIDIA GPU, using smolvm's --cuda API remoting. Use when a workload in a machine needs a GPU; when nvidia-smi or /dev/nvidia* is missing inside a --cuda guest; when a CUDA program in a machine exits zero but seems not to touch the device; when the shim will not load in an Alpine image; or when checking whether CUDA is available on a given platform, including Windows. Do not use it for Vulkan graphics (--gpu), which is a separate feature, in docs/gpu.md, and do not expect it on a Mac, which has no CUDA driver.
Why this score
This repo hosts 10 skills, so its 6,769 stars are split between them (about 677 each) for scoring.
Popularity score: 73/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank
Security
Scanned Oct 20, 2026 at commit c925bfd05cf6, with Cisco's open-source skill-scanner.
None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.
A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan
Alternatives
Other makers' add-ons that do the same job, next to this one.
| Name | Score | Stars | Context | Updated |
|---|---|---|---|---|
| This onegpu-cuda smol-machines/smolvm · Skill | 73 | ★ 6.8k | ≈149 always | 16d ago |
| k8s-debug-gpu-pod Project-HAMi/HAMi · Skill Both about gpu and image | 85 | ★ 4.9k | ≈25 always | 16d ago |
| debugging-litert-gpu-accuracy google-ai-edge/LiteRT · Skill Both about gpu and device | 80 | ★ 3.5k | ≈26 always | 16d ago |
| aiml-gpu-training-cluster-investigation aws/tools-for-devops-agent · Skill Both about gpu | 62 | ★ 110 | ≈31 always | 16d ago |